{"as_of":"2026-08-18T13:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:72bb9c35c3c04d1b8ab1255985f66fa860e1f450bbf0e6c409ce35bfd7ee4554","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:42:11.160842Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.15381/citation-record","integrity":"/paper/2506.15381/integrity","json":"/paper/2506.15381/citation-record.json","paper":"/paper/2506.15381"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:10.966976Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:10.966976Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:d74ef92f474ac101b919880788e60806265f234b7b9ddcecf092be4656723f5f","observation_id":"528badb9-1e66-4083-bf96-4a68ab105071","resolution":{"observed_at":"2026-08-15T19:42:10.966976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:10.974233Z","title":"and Nichol, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:10.974233Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:a7a1140c832c56ef4c9dabd4eab0e424f18f89f0d07a6aa8bba0435860dc0281","observation_id":"0097328d-3d92-4f68-9cbf-6c341a3b9be7","resolution":{"observed_at":"2026-08-15T19:42:10.974233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.01618","last_updated":"2022-08-02T17:50:36Z","snapshot_observed_at":"2026-08-02T23:40:32.342515Z","submitted_at":"2022-08-02T17:50:36Z","title":"An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.01618","snapshot_observed_at":"2026-08-15T19:42:10.979791Z","title":"H., Chechik, G., and Cohen-Or, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:10.979791Z"},"links":{"cited_paper":"/paper/2208.01618","citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:fdbfea1c29bf2591a684ed88d11e41fb4024dd36080f9611c163382ccae1de45","observation_id":"ff36638e-01f0-42bc-95d6-3666f2fddbad","resolution":{"observed_at":"2026-08-15T19:42:10.979791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.625396Z","title":"Plug-in inversion: Model-agnostic inversion for vision with data augmentations","venue":null,"work_id":"8e3de3d1-ded2-4592-b1d7-ae8a7c0a2651","year":2022},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:10.986936Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:bced4f32ed34d18f7c490846ecc95f3255e5a7689c197ae499d50ce5ef40f493","observation_id":"71debac2-cec9-4e94-b57f-8858ff47029d","resolution":{"observed_at":"2026-08-15T19:42:11.630372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:10.992424Z","title":"Battle of the backbones: A large-scale comparison of pretrained models across computer vision tasks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:10.992424Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:9b83c2ced4dea93fa9e641aa5ee8f72c002a2c502478ee1ec427985e9c03d41a","observation_id":"ee8bbe5c-be59-4a65-a99d-3826903b83b3","resolution":{"observed_at":"2026-08-15T19:42:10.992424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:10.998199Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:10.998199Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:1519cf6982d5822eeca5be9c98928c0beade32c87b56a69aa0988926caf72625","observation_id":"d995bd52-10a3-4b32-a95f-c35c981493d6","resolution":{"observed_at":"2026-08-15T19:42:10.998199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.591906Z","title":"Style aligned image generation via shared attention","venue":null,"work_id":"72a5cb0c-120c-4c1e-8ad6-72676cbe0dae","year":2024},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.003315Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:4555ce99eaeb3664330f791d6ca2c918be31975923f8b507b11617368606b01f","observation_id":"26d8dafd-767d-4374-957a-9ac2d9188a9e","resolution":{"observed_at":"2026-08-15T19:42:11.596953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.010249Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.010249Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:e466006e4893f9a3d5479f5f2b4a2cdbf02131bd9239e91b502d64a297ea03e8","observation_id":"e3bee17c-2cd6-4fa5-8b10-a0a2451e1d8b","resolution":{"observed_at":"2026-08-15T19:42:11.010249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-14T06:37:15.299690Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-15T19:42:11.015339Z","title":"and Salimans, T","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.015339Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:1133fb5621e93e55a8379ce9e66accd4393d259db602e7a3cfea695412dddf6d","observation_id":"97654e3f-6e11-4643-a7d1-9d36024937f6","resolution":{"observed_at":"2026-08-15T19:42:11.015339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.022235Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.022235Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:4482aa7441815a4ea9bb478b851f42f4d0d1e418c1fce9bcc020c129db71c817","observation_id":"af1eec8a-75c6-41f2-88cf-d733d93cd534","resolution":{"observed_at":"2026-08-15T19:42:11.022235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.559307Z","title":"C., and Liu, Z","venue":null,"work_id":"7d5e35db-88ab-4ab3-9f2f-e63aacec90f0","year":2024},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.027478Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:8275a966e2a4a52aed6eca163cb12e3b2e39ff0dedc317835b22075982f293ba","observation_id":"dae12760-f137-4e7a-9b17-9690a0172de0","resolution":{"observed_at":"2026-08-15T19:42:11.564028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.032623Z","title":"and Szegedy, C","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.032623Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:f6be03ef86149a3ead2fd5f65a2150473e7d5d6ebec3c5b7d4cbd5cb472d5c28","observation_id":"be7bf2df-99dd-4c7a-bd66-404a06ee23e9","resolution":{"observed_at":"2026-08-15T19:42:11.032623Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.535591Z","title":"Difference inversion: Interpolate and isolate the difference with token consistency for image analogy generation","venue":null,"work_id":"a72ddf44-8e17-4ff9-bf97-67f10c76ae46","year":2025},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.037964Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:7ecc95ded306929dba8ada24c37c7c3eec37bd90321d58fe8571f2e4b239e7cb","observation_id":"beddfe5d-fd79-40e9-bc2b-fe633cafa455","resolution":{"observed_at":"2026-08-15T19:42:11.540677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.520731Z","title":"Naturalinversion: Data-free image synthesis improving real-world consistency","venue":null,"work_id":"459045bb-3fce-444c-a5e3-7e26f46280b3","year":2022},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.043191Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:bff19cd76a6aafbe6a981048d11ebe259d8d97bb81d91a1d9429de38e8a16fc1","observation_id":"50a348d8-8359-4411-a6be-9dc3d8b7297f","resolution":{"observed_at":"2026-08-15T19:42:11.525814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.048190Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.048190Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:d96c180e73b0f2d87ebde195e86f02e639309b74a82501ca044ff80763526a53","observation_id":"b2f98b25-6320-42a1-b905-d94d31251020","resolution":{"observed_at":"2026-08-15T19:42:11.048190Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12954","last_updated":"2023-05-22T12:02:31Z","snapshot_observed_at":"2026-08-17T12:38:15.077646Z","submitted_at":"2023-05-22T12:02:31Z","title":"Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.12954","snapshot_observed_at":"2026-08-15T19:42:11.054091Z","title":"Is synthetic data from diffusion models ready for knowledge distillation? arXiv preprint arXiv:2305.12954, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.054091Z"},"links":{"cited_paper":"/paper/2305.12954","citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:f224b9f40007c36fb265af22e4fc2d7f2d4b2ca724ecc4c66f8eaa364327fecd","observation_id":"76cb6cc7-2af4-46e9-a24e-6eba8df7add2","resolution":{"observed_at":"2026-08-15T19:42:11.054091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.05155","last_updated":"2023-02-18T07:09:35Z","snapshot_observed_at":"2026-08-16T15:56:18.389288Z","submitted_at":"2023-02-10T10:25:29Z","title":"TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.05155","snapshot_observed_at":"2026-08-15T19:42:11.059380Z","title":"Ttn: A domain-shift aware batch normalization in test-time adaptation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.059380Z"},"links":{"cited_paper":"/paper/2302.05155","citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:741f68de00a26de272d432a3b75089952bd7cda4427598bc83a471a13e98873d","observation_id":"0d863a49-4847-43ca-918a-d85f3ff8539a","resolution":{"observed_at":"2026-08-15T19:42:11.059380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.496216Z","title":"Learning efficient convolutional networks through network slimming","venue":null,"work_id":"2f634572-9788-4645-8a13-39cec0833103","year":2017},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.064472Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:7ce21f7ccd5fdb863f96e03853bbe4e9c2ac9d7f7447f304a3b247e5993ac2ae","observation_id":"ab3373e6-0b68-4090-b6b9-1b5d081cba36","resolution":{"observed_at":"2026-08-15T19:42:11.501302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.05270","last_updated":"2019-03-05T05:58:11Z","snapshot_observed_at":"2026-08-14T18:15:55.919265Z","submitted_at":"2018-10-11T22:15:28Z","title":"Rethinking the Value of Network Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.05270","snapshot_observed_at":"2026-08-15T19:42:11.068967Z","title":"Rethinking the value of network pruning","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.068967Z"},"links":{"cited_paper":"/paper/1810.05270","citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:4bd10a92aea79893adc12e6dc06211a7dab01c3f8611bfb4bc16e5ed5038e735","observation_id":"c5405f2f-9da2-4388-8581-5d3807297588","resolution":{"observed_at":"2026-08-15T19:42:11.068967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.480988Z","title":"J., Micorek, J., Possegger, H., and Bischof, H","venue":null,"work_id":"e89ae3f4-b99b-4480-ae2a-b83863f4e371","year":2022},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.078457Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:eb83de02f922028cbe3fccd8edd3ffe516d44c51ba564e3638affa92a1c99e24","observation_id":"701c5d66-5e7b-4a3a-a5d1-131c9974519e","resolution":{"observed_at":"2026-08-15T19:42:11.486101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.466157Z","title":"Deepdream-a code example for visualizing neural networks","venue":null,"work_id":"7cfffd31-5900-4195-9f15-6133b07be56f","year":2015},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.084364Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:371e2520005f7c678e3163399ee6ca0a13f8f2a06f3320bad2314a607ad72015","observation_id":"f05a61d6-cc77-4114-b79b-9828e66dac5b","resolution":{"observed_at":"2026-08-15T19:42:11.470959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.089686Z","title":"Pytorch: An imperative style, high-performance deep learning library","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.089686Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:086b924960f6c8d7f35b5a502687e71ecdc3d6f349b968a96dc510df33fbfaea","observation_id":"e0d0b0fd-08bc-4899-90fa-602cdd4c7c67","resolution":{"observed_at":"2026-08-15T19:42:11.089686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.098794Z","title":"Generative adversarial text to image synthesis","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.098794Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:ac916ac5c37f72c1c5be0ddc8f3e00af5c6a848ae4abb87a40595e1581303f4b","observation_id":"43032306-b917-4226-b6d6-f95559fa9e37","resolution":{"observed_at":"2026-08-15T19:42:11.098794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.10972","last_updated":"2021-08-05T15:04:28Z","snapshot_observed_at":"2026-08-16T18:29:47.623456Z","submitted_at":"2021-04-22T10:10:14Z","title":"ImageNet-21K Pretraining for the Masses","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.10972","snapshot_observed_at":"2026-08-15T19:42:11.103146Z","title":"Imagenet-21k pretraining for the masses","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.103146Z"},"links":{"cited_paper":"/paper/2104.10972","citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:1436b3ef0724bb473d6b4dd72f69adadbac76f1b41028dc46cfbfbe71cbf57de","observation_id":"dc73b9b6-5d96-45e1-abf6-829acaf53b96","resolution":{"observed_at":"2026-08-15T19:42:11.103146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.108086Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.108086Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:720dbfc490e71cffc99472242b19f225d9d63f96470f04000ca24a55baed62b0","observation_id":"873ff35b-c590-4b13-8eca-29ae4cd60925","resolution":{"observed_at":"2026-08-15T19:42:11.108086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.112892Z","title":"Imagenet large scale visual recognition challenge","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.112892Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:9147f304d1173da92eeb4277838c75cbc3643f98094123d4a910205f7a1b8333","observation_id":"6697852b-75d9-452b-8d59-6d0ae4f38856","resolution":{"observed_at":"2026-08-15T19:42:11.112892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.117073Z","title":"L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.117073Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:ba0a5773f6b92a678011b2e59669115ceadb1124f1679a8f129348ec2e823826","observation_id":"a5d9ad73-0efb-4bef-aee7-f5a2d9742c13","resolution":{"observed_at":"2026-08-15T19:42:11.117073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.00035","last_updated":"2018-10-28T10:43:26Z","snapshot_observed_at":"2026-08-14T19:08:50.787628Z","submitted_at":"2018-05-31T18:14:41Z","title":"Assessing Generative Models via Precision and Recall","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.00035","snapshot_observed_at":"2026-08-15T19:42:11.121560Z","title":"S., Bachem, O., Lucic, M., Bousquet, O., and Gelly, S","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.121560Z"},"links":{"cited_paper":"/paper/1806.00035","citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:1b575a1285d46b053aef2fa8247e8ce668635bab9962cac1be3b07587be2cc6b","observation_id":"fe07fa24-9a3f-4b52-ac93-e87c651396f4","resolution":{"observed_at":"2026-08-15T19:42:11.121560Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.402933Z","title":"V., Fan, H., Aggarwal, V., Adcock, A., Joulin, A., Doll \\'a r, P., Feichtenhofer, C., Girshick, R., et al","venue":null,"work_id":"861ba1e4-d75b-40b5-ab02-03a104d4b20f","year":2023},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.126017Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:1843c22ae0993b56d0f9b6d25acea60d3eb0ff61410d9720100cbb9c400e9b3d","observation_id":"e06e8e4a-162d-446b-8f99-bb7081ff10d0","resolution":{"observed_at":"2026-08-15T19:42:11.408044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.130586Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.130586Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:257b1dede094510ed637f5ae54ca247ac733b854485edd42fe5e750b18f9d89a","observation_id":"bcaaaf19-c440-4ff0-858b-8b062823f211","resolution":{"observed_at":"2026-08-15T19:42:11.130586Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-15T19:42:11.134828Z","title":"P., Kumar, A., Ermon, S., and Poole, B","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.134828Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:50dae7b17811eb5af5b50db92f06d3d13010a0ae73293823b66dc64af70d1e50","observation_id":"f49f5993-ea8b-4cb6-b1c2-c5229914bbac","resolution":{"observed_at":"2026-08-15T19:42:11.134828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.377079Z","title":"H., and Phung, D","venue":null,"work_id":"bd5fb1ba-cbef-4943-9ace-bdf6b2782920","year":2024},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.139148Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:9e621b76d980511ffbaf14c3d7c58967270ef38e235e1a8566ac06bb36687afb","observation_id":"3366bb2e-5848-46fd-96ce-06b1b5c2ce98","resolution":{"observed_at":"2026-08-15T19:42:11.382322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.10726","last_updated":"2021-03-18T17:58:01Z","snapshot_observed_at":"2026-08-16T06:30:33.794820Z","submitted_at":"2020-06-18T17:55:28Z","title":"Tent: Fully Test-time Adaptation by Entropy Minimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.10726","snapshot_observed_at":"2026-08-15T19:42:11.143330Z","title":"Tent: Fully test-time adaptation by entropy minimization","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.143330Z"},"links":{"cited_paper":"/paper/2006.10726","citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:d7107b8b3e981e4e596db883155163dc5a0f79403587bde01c786de41670563b","observation_id":"8e8fd9f4-6573-45e1-9aed-80f8a4583f53","resolution":{"observed_at":"2026-08-15T19:42:11.143330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.361875Z","title":"De-confounded data-free knowledge distillation for handling distribution shifts","venue":null,"work_id":"a084aade-7424-42fe-97ff-5520952e483a","year":2024},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.147555Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:d88f3e0819096816963e376ee409e3165178d31727453b7d30ec782dd62b246c","observation_id":"fb6b857b-178f-4ade-82d8-ec444b02c1db","resolution":{"observed_at":"2026-08-15T19:42:11.367239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.03771","last_updated":"2020-07-14T03:42:34Z","snapshot_observed_at":"2026-07-06T08:27:58.343233Z","submitted_at":"2019-10-09T03:23:22Z","title":"HuggingFace's Transformers: State-of-the-art Natural Language Processing","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.03771","snapshot_observed_at":"2026-08-15T19:42:11.151583Z","title":"Huggingface's transformers: State-of-the-art natural language processing","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.151583Z"},"links":{"cited_paper":"/paper/1910.03771","citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:4a102d98ea7c871f683a376f48bd95eff9b273db4b1608681d96f8f3090dbb13","observation_id":"b7897f33-8bee-4090-802e-138bb98bc854","resolution":{"observed_at":"2026-08-15T19:42:11.151583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.347601Z","title":"N., and Feng, S","venue":null,"work_id":"cc5d17ef-2f72-4b9a-8da3-b6e45ddfe232","year":2024},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.156532Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:a19f22a023b2cbf539f97fb3c2cdfb516e18e51272e8976e8abee869bcc1332c","observation_id":"13088345-e866-4745-aef3-e8d6fd3941d8","resolution":{"observed_at":"2026-08-15T19:42:11.351937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:42:11.332061Z","title":"M., Li, Z., Mallya, A., Hoiem, D., Jha, N","venue":null,"work_id":"0ff6659c-dd49-4db9-8660-ca66e1969b2e","year":2020},"citing_paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T19:42:11.160842Z"},"links":{"citing_paper":"/paper/2506.15381"},"observation_digest":"sha256:3a9e07a77f133f365eafd0355792e0507c596c3358385e73ba7be40c276d8cc2","observation_id":"9fe2ee40-dbae-4359-a4c7-d72f9e75375d","resolution":{"observed_at":"2026-08-15T19:42:11.337591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.15381","last_updated":"2025-06-18T11:51:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T06:31:30.011873Z","submitted_at":"2025-06-18T11:51:40Z","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":37},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.15381."}